Anthony N. Burkitt

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Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
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◀ ▶ joint publications with Hamish Meffin

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Publications

2025
[j60]
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Marko A. Ruslim, Martin J. Spencer, Hinze Hogendoorn, Hamish Meffin, Yanbo Lian, Anthony N. Burkitt:
Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex. PLoS Comput. Biol. 21(11): 1013644 (2025)
2021
[j52]
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Yanbo Lian, Ali Almasi, David B. Grayden, Tatiana Kameneva, Anthony N. Burkitt, Hamish Meffin:
Learning receptive field properties of complex cells in V1. PLoS Comput. Biol. 17(3) (2021)
2018
[j50]
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Martin J. Spencer, Hamish Meffin, Anthony N. Burkitt, David B. Grayden:
Compensation for Traveling Wave Delay Through Selection of Dendritic Delays Using Spike-Timing-Dependent Plasticity in a Model of the Auditory Brainstem. Frontiers Comput. Neurosci. 12: 36 (2018)
[j47]
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Matias I. Maturana, Nicholas V. Apollo, David J. Garrett, Tatiana Kameneva, Shaun L. Cloherty, David B. Grayden, Anthony N. Burkitt, Michael R. Ibbotson, Hamish Meffin:
Electrical receptive fields of retinal ganglion cells: Influence of presynaptic neurons. PLoS Comput. Biol. 14(2) (2018)
[c24]
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Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt, David B. Grayden:
Bistability in Hodgkin-Huxley-type equations. EMBC 2018: 4728-4731
2016
[c22]
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Timothy Esler, Anthony N. Burkitt, David B. Grayden, Robert R. Kerr, Bahman Tahayori, Hamish Meffin:
A computational model of orientation-dependent activation of retinal ganglion cells. EMBC 2016: 5447-5450
2015
[j44]
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Tatiana Kameneva, Miganoosh Abramian, Daniele Zarelli, Dragan Nesic, Anthony N. Burkitt, Hamish Meffin, David B. Grayden:
Spike history neural response model. J. Comput. Neurosci. 38(3): 463-481 (2015)
2014
[j42]
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Tatiana Kameneva, Daniele Zarelli, Dragan Nesic, David B. Grayden, Anthony N. Burkitt, Hamish Meffin:
A comparison of open-loop and closed-loop stimulation strategies to control excitation of retinal ganglion cells. Biomed. Signal Process. Control. 14: 164-174 (2014)
[j41]
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Matias I. Maturana, Tatiana Kameneva, Anthony N. Burkitt, Hamish Meffin, David B. Grayden:
The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results. J. Comput. Neurosci. 36(2): 157-175 (2014)
[c21]
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Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt:
Feedback stimulation strategy: Control of retinal ganglion cells activation. EMBC 2014: 1703-1706
2013
[c20]
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Matias I. Maturana, David B. Grayden, Anthony N. Burkitt, Hamish Meffin, Tatiana Kameneva:
Multicompartment retinal ganglion cells response to high frequency bi-phasic pulse train stimulation: Simulation results. EMBC 2013: 69-72
[c19]
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Matias I. Maturana, Raymond C. S. Wong, Shaun L. Cloherty, Michael R. Ibbotson, Alex E. Hadjinicolaou, David B. Grayden, Anthony N. Burkitt, Hamish Meffin, Brendan J. O'Brien, Tatiana Kameneva:
Retinal ganglion cells electrophysiology: The effect of cell morphology on impulse waveform. EMBC 2013: 2583-2586
[c17]
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Hamish Meffin, Bahman Tahayori, David B. Grayden, Anthony N. Burkitt:
Internal inconsistencies in models of electrical stimulation in neural tissue. EMBC 2013: 5946-5949
[c16]
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Nicholas V. Apollo, David B. Grayden, Anthony N. Burkitt, Hamish Meffin, Tatiana Kameneva:
Modeling intrinsic electrophysiology of AII amacrine cells: Preliminary results. EMBC 2013: 6551-6554
2012
[j38]
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Martin J. Spencer, David B. Grayden, Ian C. Bruce, Hamish Meffin, Anthony N. Burkitt:
An investigation of dendritic delay in octopus cells of the mammalian cochlear nucleus. Frontiers Comput. Neurosci. 6: 83 (2012)
[j35]
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Nicholas L. Opie, Anthony N. Burkitt, Hamish Meffin, David B. Grayden:
Heating of the Eye by a Retinal Prosthesis: Modeling, Cadaver and In Vivo Study. IEEE Trans. Biomed. Eng. 59(2): 339-345 (2012)
[c15]
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Alexey S. Moroz, Mark D. McDonnell, Anthony N. Burkitt, David B. Grayden, Hamish Meffin:
Information theoretic inference of the optimal number of electrodes for future cochlear implants using a spiral cochlea model. EMBC 2012: 2965-2968
[c14]
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Nicholas A. Venables, Bahman Tahayori, Hamish Meffin, David B. Grayden, Anthony N. Burkitt:
Determining the electrical impedance of the retina from a complex voltage map. EMBC 2012: 3005-3008
[c13]
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Craig O. Savage, Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt:
Minimisation of required charge for desired neuronal spike rate. EMBC 2012: 3009-3012
2011
[j33]
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Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt:
Modelling intrinsic electrophysiological properties of ON and OFF retinal ganglion cells. J. Comput. Neurosci. 31(3): 547-561 (2011)
[j32]
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Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin:
Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression. Neural Comput. 23(10): 2567-2598 (2011)
[c10]
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Craig O. Savage, David B. Grayden, Hamish Meffin, Anthony N. Burkitt:
Predicting phosphene elicitation in patients with retinal implants: A mathematical study. EMBC 2011: 6246-6249
[c9]
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Bahman Tahayori, Hamish Meffin, Nicholas A. Venables, David B. Grayden, Anthony N. Burkitt:
Theoretical framework for estimating the conductivity map of the retina through finite element analysis. EMBC 2011: 6721-6724
[c8]
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Tatiana Kameneva, David B. Grayden, Hamish Meffin, Anthony N. Burkitt:
Simulating electrical stimulation of degenerative retinal ganglion cells with bi-phasic pulse trains. EMBC 2011: 7103-7106
2010
[j29]
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Sean Byrnes, Anthony N. Burkitt, David B. Grayden, Hamish Meffin:
Spiking Neuron Model for Temporal Sequence Recognition. Neural Comput. 22(1): 61-93 (2010)
[j27]
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Mark D. McDonnell, Anthony N. Burkitt, David B. Grayden, Hamish Meffin, Alex J. Grant:
A channel model for inferring the optimal number of electrodes for future cochlear implants. IEEE Trans. Inf. Theory 56(2): 928-940 (2010)
2005
[j18]
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Hamish Meffin, Anthony N. Burkitt, David B. Grayden:
Dynamically adjustable contrast enhancement from cortical background activity. Neurocomputing 65-66: 633-639 (2005)
2004
[j17]
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Hamish Meffin, Anthony N. Burkitt, David B. Grayden:
An Analytical Model for the 'Large, Fluctuating Synaptic Conductance State' Typical of Neocortical Neurons In Vivo. J. Comput. Neurosci. 16(2): 159-175 (2004)
[j16]
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Anthony N. Burkitt, Hamish Meffin, David B. Grayden:
Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point. Neural Comput. 16(5): 885-94 (2004)
2003
[j15]
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Anthony N. Burkitt, Hamish Meffin, David B. Grayden:
Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. Biol. Cybern. 89(2): 119-125 (2003)
[j13]
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Anthony N. Burkitt, Hamish Meffin, David B. Grayden:
Gain modulation and balanced synaptic input in a conductance-based neural model. Neurocomputing 52-54: 221-226 (2003)

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